Lu Ye, Chen Li, Kun Qin, Liang Xu, Ping Jin, Zhanpeng Wang, Cong Zhang, Chun Yin, Yaolin Liu, Zhicheng Fang, Jingjun Lv, Peng Jia
{"title":"Associations between long-term exposure to air pollutants and mortality risk of critically ill patients: a multi-center cohort study in central China.","authors":"Lu Ye, Chen Li, Kun Qin, Liang Xu, Ping Jin, Zhanpeng Wang, Cong Zhang, Chun Yin, Yaolin Liu, Zhicheng Fang, Jingjun Lv, Peng Jia","doi":"10.1186/s13613-025-01527-y","DOIUrl":null,"url":null,"abstract":"<p><strong>Study objective: </strong>Air pollutants have been known as the most persistent environmental risk factors of all-cause mortality in general populations. However, few studies focused on such associations in critically ill patients who usually suffer from multiple comorbidities and even organ dysfunctions, and thus have lower resistance to external risk factors. For the first time, this study examined associations between long-term exposure to air pollutants and mortality risk of critically ill patients, also relative contribution of each pollutant to their joint health effect.</p><p><strong>Methods: </strong>The 7,562 critically ill patients admitted to intensive care units (ICU) in a Hubei Province Medical Treatment Alliance in China were used in this study. Patient's death within 28 days after ICU admission was used as the outcome. Daily concentrations of air pollutants, including PM<sub>2.5</sub>, PM<sub>10</sub>, NO<sub>2</sub>, SO<sub>2</sub>, O<sub>3</sub> and CO, over their residence were estimated at a spatial resolution of 1 km by a newly developed multi-output LightGBM model, with better accuracy than all existing products. Logistic regression models were fit to estimate associations between individual air pollutants and mortality risk. Weighted quantity sum (WQS) regression was used to estimate relative contribution of each air pollutant to their joint effect on mortality risk.</p><p><strong>Results: </strong>The 7,222 patients were included in the study and had a mortality rate of 39.1%, with about half staying in ICU for ≤ 6 days. An increased risk for mortality was associated with a higher concentration of PM<sub>2.5</sub> (OR = 1.007 [1.003, 1.011]), PM<sub>10</sub> (OR = 1.002 [1.000, 1.004]), NO<sub>2</sub> (OR = 1.020 [1.015, 1.024]), SO<sub>2</sub> (OR = 1.025 [1.001, 1.050]), O<sub>3</sub> (OR = 1.005 [1.001, 1.009]), and CO (OR = 4.336 [2.952, 6.457]). These associations varied across subgroups. For example, stronger associations were observed in males (PM<sub>2.5</sub>: OR = 1.010 [1.005, 1.015], PM<sub>10</sub>: OR = 1.004 [1.001, 1.007], NO<sub>2</sub>: OR = 1.026 [1.021, 1.032], and CO: OR = 6.224 [3.867, 10.019]), smokers (SO<sub>2</sub>: OR = 1.132 [1.078, 1.189], O<sub>3</sub>: OR = 1.014 [1.006, 1.022]), alcohol drinkers (SO<sub>2</sub>: OR = 1.147 [1.082, 1.215], O<sub>3</sub>: OR = 1.020 [1.010, 1.029]), and patients with a SAPS II of > 33 (SO<sub>2</sub>: OR = 1.168 [1.130, 1.207], CO: OR = 3.557 [2.165, 5.843]). The largest contribution to their joint effect on mortality risk was from O<sub>3</sub> (43.8%), followed by NO<sub>2</sub> (25.1%), CO (20.9%), PM<sub>2.5</sub> (9.1%), SO<sub>2</sub> (1.0%), and PM<sub>10</sub> (0.1%).</p><p><strong>Conclusion: </strong>Exposure to air pollutants was positively associated with the mortality risk of critically ill patients, with O<sub>3</sub> being the main contributor to their joint effect. The findings would help multiple stakeholders, including researchers, physicians, and policy-makers, better understand health effects of air pollutants on critically ill patients, also serve as justifications for facilitate environmental justice and health equity.</p>","PeriodicalId":7966,"journal":{"name":"Annals of Intensive Care","volume":"15 1","pages":"165"},"PeriodicalIF":5.5000,"publicationDate":"2025-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12537634/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Intensive Care","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13613-025-01527-y","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Study objective: Air pollutants have been known as the most persistent environmental risk factors of all-cause mortality in general populations. However, few studies focused on such associations in critically ill patients who usually suffer from multiple comorbidities and even organ dysfunctions, and thus have lower resistance to external risk factors. For the first time, this study examined associations between long-term exposure to air pollutants and mortality risk of critically ill patients, also relative contribution of each pollutant to their joint health effect.
Methods: The 7,562 critically ill patients admitted to intensive care units (ICU) in a Hubei Province Medical Treatment Alliance in China were used in this study. Patient's death within 28 days after ICU admission was used as the outcome. Daily concentrations of air pollutants, including PM2.5, PM10, NO2, SO2, O3 and CO, over their residence were estimated at a spatial resolution of 1 km by a newly developed multi-output LightGBM model, with better accuracy than all existing products. Logistic regression models were fit to estimate associations between individual air pollutants and mortality risk. Weighted quantity sum (WQS) regression was used to estimate relative contribution of each air pollutant to their joint effect on mortality risk.
Results: The 7,222 patients were included in the study and had a mortality rate of 39.1%, with about half staying in ICU for ≤ 6 days. An increased risk for mortality was associated with a higher concentration of PM2.5 (OR = 1.007 [1.003, 1.011]), PM10 (OR = 1.002 [1.000, 1.004]), NO2 (OR = 1.020 [1.015, 1.024]), SO2 (OR = 1.025 [1.001, 1.050]), O3 (OR = 1.005 [1.001, 1.009]), and CO (OR = 4.336 [2.952, 6.457]). These associations varied across subgroups. For example, stronger associations were observed in males (PM2.5: OR = 1.010 [1.005, 1.015], PM10: OR = 1.004 [1.001, 1.007], NO2: OR = 1.026 [1.021, 1.032], and CO: OR = 6.224 [3.867, 10.019]), smokers (SO2: OR = 1.132 [1.078, 1.189], O3: OR = 1.014 [1.006, 1.022]), alcohol drinkers (SO2: OR = 1.147 [1.082, 1.215], O3: OR = 1.020 [1.010, 1.029]), and patients with a SAPS II of > 33 (SO2: OR = 1.168 [1.130, 1.207], CO: OR = 3.557 [2.165, 5.843]). The largest contribution to their joint effect on mortality risk was from O3 (43.8%), followed by NO2 (25.1%), CO (20.9%), PM2.5 (9.1%), SO2 (1.0%), and PM10 (0.1%).
Conclusion: Exposure to air pollutants was positively associated with the mortality risk of critically ill patients, with O3 being the main contributor to their joint effect. The findings would help multiple stakeholders, including researchers, physicians, and policy-makers, better understand health effects of air pollutants on critically ill patients, also serve as justifications for facilitate environmental justice and health equity.
期刊介绍:
Annals of Intensive Care is an online peer-reviewed journal that publishes high-quality review articles and original research papers in the field of intensive care medicine. It targets critical care providers including attending physicians, fellows, residents, nurses, and physiotherapists, who aim to enhance their knowledge and provide optimal care for their patients. The journal's articles are included in various prestigious databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, OCLC, PubMed, PubMed Central, Science Citation Index Expanded, SCOPUS, and Summon by Serial Solutions.